Internet of Things (IoT): Taxonomy of security attacks

Nawir, Mukrimah; Amir, Amiza; Yaakob, Naimah; Lynn, Ong Bi

doi:10.1109/iced.2016.7804660

Cited by 213 publications

(114 citation statements)

References 9 publications

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“…[30][31][32][33] Several well-known attacks have been described in the literature. A more extensive discussion of attacks on IoT devices is beyond the scope of this paper but can be found in the recent literature.…”

Section: Common Attacks On Iot Devicesmentioning

confidence: 99%

“…A more extensive discussion of attacks on IoT devices is beyond the scope of this paper but can be found in the recent literature. [30][31][32][33] Several well-known attacks have been described in the literature. DOS attacks either disable the IoT device itself or use a compromised IoT device in order to launch other DoS attacks.…”

Section: Common Attacks On Iot Devicesmentioning

confidence: 99%

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Securing Internet of Things (IoT) with machine learning

Zeadally

Tsikerdekis

2019

Int J Communication

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Advances in hardware, software, communication, embedding computing technologies along with their decreasing costs and increasing performance have led to the emergence of the Internet of Things (IoT) paradigm. Today, several billions of Internet-connected devices are part of the IoT ecosystem.IoT devices have become an integral part of the information and communication technology (ICT) infrastructure that supports many of our daily activities. The security of these IoT devices has been receiving a lot of attention in recent years. Another major recent trend is the amount of data that is being produced every day which has reignited interest in technologies such as machine learning and artificial intelligence. We investigate the potential of machine learning techniques in enhancing the security of IoT devices. We focus on the deployment of supervised, unsupervised learning techniques, and reinforcement learning for both host-based and network-based security solutions in the IoT environment. Finally, we discuss some of the challenges of machine learning techniques that need to be addressed in order to effectively implement and deploy them so that they can better protect IoT devices. KEYWORDSattack, internet of things, machine learning, security

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Section: Common Attacks On Iot Devicesmentioning

confidence: 99%

Section: Common Attacks On Iot Devicesmentioning

confidence: 99%

Securing Internet of Things (IoT) with machine learning

Zeadally

Tsikerdekis

2019

Int J Communication

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“…Attacks and vulnerabilities are widely studied. Nawir et al [8] report the eventual attacks to IoT devices during safetycritical operations causing them to be in the shutdown mode. Wurm et al [9] identify backdoors and analyze security of hardware, software, and networks from commercial/industrial IoT devices.…”

Section: Related Workmentioning

confidence: 99%

A Fuzzy Model for Knowledge Base IoT Information Security Evaluation

Mello

2019

J. Inf. Secur. Cryptogr.

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Internet of Things (IoT) accelerating growth exposes many unsecured issues related to the design and the usage of network integrated devices. This paper presents a fuzzy evaluation method, based on both IOT hardware/software developers’ and users’ knowledge, creating an novel model to aid correctness actions over security procedures, in order to increase the IOT safeness usage. This method combines both the developer’s and user’s perspectives, creating an integrated adaptive evaluation attached to the Information Technology security standards and best practices guidelines. The proposed evaluation method is divided by categories, each one composed of security control clauses and their corresponding action recommendation. The user perspective of such evaluation method was applied into a service company, and the developer perspective was defined by an IoT device manufacturer. The obtained results have shown that the evaluation method enhances both the manufacturer security awareness and the IOT users experience in the improvement of security IoT issues.

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“…As the IoT devices such as sensors, acutators and they are directly accessible, so they are prone to various security attacks such as spoofing, denial of service, altering attack [27]. So there is need to deploy against these attacks.…”

Section: Iot Challengesmentioning

confidence: 99%